Replication

Software Engineer, 10genTyler Brock

Replication and Replica Sets

Wednesday, March 27, 13

Agenda

• Replica Sets Lifecycle• Developing with Replica Sets• Operational Considerations • Behind the Curtain


Why Replication?

• How many have faced node failures?• How many have been woken up from sleep to do

a fail-over(s)?• How many have experienced issues due to

network latency?• Different uses for data

– Normal processing– Simple analytics


ReplicaSet Lifecycle


Replica Set – Creation


Replica Set – Initialize


Replica Set – Failure


Replica Set – Failover


Replica Set – Recovery


Replica Set – Recovered


ReplicaSet Roles & Configuration


Replica Set Roles

Heartbeat Heartbeat


> conf = { _id : "mySet", members : [ {_id : 0, host : "A”, priority : 3}, {_id : 1, host : "B", priority : 2}, {_id : 2, host : "C”}, {_id : 3, host : "D", hidden : true}, {_id : 4, host : "E", hidden : true, slaveDelay : 3600} ]}

> rs.initiate(conf)

Configuration Options


> conf = { _id : "mySet”, members : [ {_id : 0, host : "A”, priority : 3}, {_id : 1, host : "B", priority : 2}, {_id : 2, host : "C”}, {_id : 3, host : "D", hidden : true}, {_id : 4, host : "E", hidden : true, slaveDelay : 3600} ]}

> rs.initiate(conf)


Primary DC



> rs.initiate(conf)


Secondary DCDefault Priority = 1



> rs.initiate(conf)


Analytics node



> rs.initiate(conf)


Backup node


Developing with Replica Sets


Strong Consistency

ReadsWrites

Replication


Delayed Consistency

Writes

Replication

ReadsReads


Read Preference Modes

• 5 modes (new in 2.2)– primary (only) - Default– primaryPreferred– secondary– secondaryPreferred– Nearest

When more than one node is possible, closest node is used for reads (all modes but primary)


Write Concern

• Network acknowledgement• Wait for error • Wait for journal sync• Wait for replication


Tagging

• New in 2.0.0• Control where data is written to, and read from• Each member can have one or more tags

– tags: {dc: "ny"}– tags: {dc: "ny",

subnet: "192.168", rack: "row3rk7"}

• Replica set defines rules for write concerns• Rules can change without changing app code


{ _id : "mySet", members : [ {_id : 0, host : "A", tags : {"dc": "ny"}}, {_id : 1, host : "B", tags : {"dc": "ny"}}, {_id : 2, host : "C", tags : {"dc": "sf"}}, {_id : 3, host : "D", tags : {"dc": "sf"}}, {_id : 4, host : "E", tags : {"dc": "cloud"}}], settings : { getLastErrorModes : { allDCs : {"dc" : 3}, someDCs : {"dc" : 2}} }}> db.blogs.insert({...})> db.runCommand({getLastError : 1, w : "someDCs"})

Tagging Example


Tagged Read Preference

• Custom read preferences• Control where you read from by (node) tags

– E.g. { "disk": "ssd", "use": "reporting" }

• Use in conjunction with standard read preferences– Except primary


Operational Considerations


Maintenance and Upgrade

• No downtime• Rolling upgrade/maintenance

– Start with Secondary– Primary last


Replica Set – 1 Data Center

• Single datacenter• Single switch & power• Points of failure:

– Power– Network– Data center– Two node failure

• Automatic recovery of single node crash


Replica Set – 2 Data Centers

• Multi data center• DR node for safety


Replica Set – 3 Data Centers

• Three data centers• Can survive full data

center loss • Can do w= { dc : 2 } to

guarantee write in 2 data centers (with tags)


Behind the Curtain


Implementation details

• Heartbeat every 2 seconds– Times out in 10 seconds

• Local DB (not replicated)– system.replset– oplog.rs

• Capped collection

• Idempotent version of operation stored


> db.replsettest.insert({_id:1,value:1}){ "ts" : Timestamp(1350539727000, 1), "h" : NumberLong("6375186941486301201"), "op" : "i", "ns" : "test.replsettest", "o" : { "_id" : 1, "value" : 1 } }

> db.replsettest.update({_id:1},{$inc:{value:10}}) { "ts" : Timestamp(1350539786000, 1), "h" : NumberLong("5484673652472424968"), "op" : "u", "ns" : "test.replsettest", "o2" : { "_id" : 1 }, "o" : { "$set" : { "value" : 11 } } }

Op(erations) Log is idempotent


> db.replsettest.update({},{$set:{name : ”foo”}, false, true}) { "ts" : Timestamp(1350540395000, 1), "h" : NumberLong("-4727576249368135876"), "op" : "u", "ns" : "test.replsettest", "o2" : { "_id" : 2 }, "o" : { "$set" : { "name" : "foo" } } }{ "ts" : Timestamp(1350540395000, 2), "h" : NumberLong("-7292949613259260138"), "op" : "u", "ns" : "test.replsettest", "o2" : { "_id" : 3 }, "o" : { "$set" : { "name" : "foo" } } }{ "ts" : Timestamp(1350540395000, 3), "h" : NumberLong("-1888768148831990635"), "op" : "u", "ns" : "test.replsettest", "o2" : { "_id" : 1 }, "o" : { "$set" : { "name" : "foo" } } }

Single operation can have many entries


What’s New in 2.2

• Read preference support with sharding– Drivers too

• Improved replication over WAN/high-latency networks

• rs.syncFrom command


Just Use It

• Use replica sets• Easy to setup

– Try on a single machine

• Check doc page for RS tutorials– http://docs.mongodb.org/manual/replication/#tutorials


Software Engineer, 10genTyler Brock

Thank You


Date post:	16-Dec-2014
Category:	Technology
Upload:	mongodb
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Replication

Technology